Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/29810
Title: Intermediate Levels of Predation and Nutrient Enrichment Enhance the Activity of Ibuprofen-Degrading Bacteria
Authors: Peralta-Maraver, I
Rutere, C
Horn, MA
Reche, I
Behrends, V
Reiss, J
Robertson, AL
Keywords: bioremediation;food web;micropollutants;Tetrahymena pyriformis;experiment
Issue Date: 16-Sep-2022
Publisher: Springer Nature
Citation: Peralta-Maraver, I. et al. (2022) 'Intermediate Levels of Predation and Nutrient Enrichment Enhance the Activity of Ibuprofen-Degrading Bacteria', Microbial Ecology, 86 (2), pp. 1438 - 1441. doi: 10.1007/s00248-022-02109-2.
Abstract: Water is the most indispensable natural resource; yet, organic pollution of freshwater sources is widespread. In recent years, there has been increasing concern over the vast array of emerging organic contaminants (EOCs) in the effluent of wastewater treatment plants (WWTPs). Several of these EOCs are degraded within the pore space of riverbeds by active microbial consortia. However, the mechanisms behind this ecosystem service are largely unknown. Here, we report how phosphate concentration and predator–prey interactions drive the capacity of bacteria to process a model EOC (ibuprofen). The presence of phosphate had a significant positive effect on the population growth rate of an ibuprofen-degrading strain. Thus, when phosphate was present, ibuprofen removal efficiency increased. Moreover, low and medium levels of predation, by a ciliated protozoan, stimulated bacterial population growth. This unimodal effect of predation was lost under high phosphate concentration, resulting in the flattening of the relationships between predator density and population growth of ibuprofen degraders. Our results suggest that moderate nutrient and predation levels promote the growth rate of bacterial degraders and, consequently, the self-purifying capability of the system. These findings enhance our understanding of the mechanisms by which riverbed communities drive the processing of EOCs.
Description: An Author Correction to this article was published on 16 November 2022 at: https://doi.org/10.1007/s00248-022-02145-y - Due to a typesetting mistake during coding in R, units in the x-axis of figure 1c and d were wrongly written with a negative exponent (i.e. 10-1, 10-2, 10-3 ,10-4), while the exponent should be positive (i.e. 101, 102, 103 ,104). Furthermore, panels c and d in the figure 1 were inverted and consequently, the figure did not match with the text and the figure caption. The original version has been corrected.
Additional information: The original online version of this article was revised: Coding in R, units in the x-axis of figure 1c and d were wrongly written. Furthermore, panels c and d in the figure 1 were inverted and consequently.
Supplementary Information is available online at: https://link.springer.com/article/10.1007/s00248-022-02109-2#Sec1 .
URI: https://bura.brunel.ac.uk/handle/2438/29810
DOI: https://doi.org/10.1007/s00248-022-02109-2
ISSN: 0095-3628
Other Identifiers: ORCiD: Ignacio Peralta-Maraver https://orcid.org/0000-0002-3467-7664
ORCiD: Cyrus Rutere https://orcid.org/0000-0001-7164-3693
ORCiD: Marcus A. Horn https://orcid.org/0000-0001-8510-9651
ORCiD: Isabel Reche https://orcid.org/0000-0003-2908-1724
ORCiD: Volker Behrends https://orcid.org/0000-0003-4855-5497
ORCiD: Julia Reiss https://orcid.org/0000-0002-3740-0046
ORCiD: Anne L. Robertson https://orcid.org/0000-0001-8398-3556
Appears in Collections:Dept of Life Sciences Research Papers

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